Name: Skill: long-horizon-information-recall-and-personalization
Author: Dingxingdi

Skill: long-horizon-information-recall-and-personalization

Use this skill when the user expects the assistant to remember something said much earlier and to use that memory in a helpful, personalized way. Trigger it for requests like 'remind me what you recommended before', 'what did I say about my setup', or 'suggest something that fits what you already know about me'. Everyday examples include: 'what restaurant did you recommend in Rome?', 'what accessories fit my camera kit?', 'what was my commute length again?', and 'use my earlier preferences in this new recommendation.'

Dingxingdi0 星标2026年4月8日

职业
分类: 销售与营销

1. Capability Definition & Real Case

Professional Definition: The ability to recall user- or assistant-provided details from distant prior interactions and use them accurately to answer factual questions or personalize later responses.
Dimension Hierarchy: Conversational Memory->Persistent Personal Memory->long-horizon-information-recall-and-personalization

Real Case

[Case 1]

Initial Environment: The assistant has accumulated dozens of prior user-assistant sessions spanning work, travel, food, and photography. Relevant memory items are buried in older conversations rather than repeated in the current session.
Real Question: Can you remind me of the romantic restaurant in Rome you recommended for dinner?
Real Trajectory: 1. Search prior sessions for recommendation history tied to Rome and romantic dinner context. 2. Distinguish assistant-provided information from user-provided preferences. 3. Retrieve the specific restaurant name rather than paraphrasing the recommendation broadly. 4. Answer directly and, if appropriate, lightly personalize the response using the earlier preference context.

Skill: long-horizon-information-recall-and-personalization

Dingxingdi0 星标2026年4月8日

职业
分类: 销售与营销

1. Capability Definition & Real Case

Professional Definition: The ability to recall user- or assistant-provided details from distant prior interactions and use them accurately to answer factual questions or personalize later responses.

Dimension Hierarchy: Conversational Memory->Persistent Personal Memory->long-horizon-information-recall-and-personalization

Real Case

[Case 1]

Initial Environment: The assistant has accumulated dozens of prior user-assistant sessions spanning work, travel, food, and photography. Relevant memory items are buried in older conversations rather than repeated in the current session.

Real Question: Can you remind me of the romantic restaurant in Rome you recommended for dinner?

Real Trajectory: 1. Search prior sessions for recommendation history tied to Rome and romantic dinner context. 2. Distinguish assistant-provided information from user-provided preferences. 3. Retrieve the specific restaurant name rather than paraphrasing the recommendation broadly. 4. Answer directly and, if appropriate, lightly personalize the response using the earlier preference context.

Skill: long-horizon-information-recall-and-personalization

1. Capability Definition & Real Case

Real Case

Skill: long-horizon-information-recall-and-personalization

1. Capability Definition & Real Case

Real Case

Pipeline Execution Instructions

Taskflow Inbox Triage

Accessibility

Open a Pull Request

Investor Materials

Continuous Agent Loop

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